[Bug]: Unable to chat with newly created brain about quivr HOT 4 OPEN

🤖

Hey @mimartin12, nice to see you here again! Hope you're ready to dive back into the world of brains and chats with us 🧠✨

Based on the error logs you've provided, it seems like there are two main issues you're encountering:

1. Different Vector Dimensions: The error 'different vector dimensions 1536 and 4096' suggests that there's a mismatch between the vector dimensions expected by the model and the vector dimensions stored in the database. This issue has been encountered before in the quivr repository, and you can find more details and a potential solution in this issue.

2. CORS Error: The CORS error you're seeing is likely due to the fact that your frontend and backend are running on different ports or domains. To resolve this, you need to configure your backend to accept requests from your frontend's origin. This is typically done by setting the 'Access-Control-Allow-Origin' header in the backend's response to the frontend's origin or ''. However, this should be done carefully as allowing all origins ('') can expose your backend to potential security risks.

As for the process of creating a new brain in the quivr codebase, it involves authenticating the user, opening the brain management interface, initiating the process of adding a new brain, naming the new brain, and finally creating the new brain. You can find more details about this process in the createBrain.ts file.

I hope this helps! If you have any further questions or if the issue persists, please provide more details so I can assist you better.

Sources

• [Bug]: Different vector dimensions
• TypeError: fetch failed
• Unable to Create New Brain - Server Error 500
• frontend/app/chat/[chatId]/page.tsx
• frontend/e2e/tests/createBrain.ts

from quivr.

I've made a fix, it was made before the new seeds that were added 3 days ago though.

1. update xxx_init.sql

Add this at the bottom of your file

CREATE OR REPLACE FUNCTION public.default_brain_embedding()
RETURNS vector(1536) AS $$
BEGIN
    RETURN 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END;
$$ LANGUAGE plpgsql;

Replace xxx_ollama.sql

Replace the content of your ollama sql file with the following:

-- Update embedding's type to llama2/mistral vector size (4096) --
alter table "public"."vectors" alter column "embedding" set not null;

alter table "public"."vectors" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."vectors_old" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."summaries" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."documents" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);

-- Create function to match vectors
CREATE OR REPLACE FUNCTION match_vectors(query_embedding vector(4096), match_count INT, p_brain_id UUID)
RETURNS TABLE(
    id UUID,
    brain_id UUID,
    content TEXT,
    metadata JSONB,
    embedding vector(4096),
    similarity FLOAT
) LANGUAGE plpgsql AS $$
#variable_conflict use_column
BEGIN
    RETURN QUERY
    SELECT
        vectors.id,
        brains_vectors.brain_id,
        vectors.content,
        vectors.metadata,
        vectors.embedding,
        1 - (vectors.embedding <=> query_embedding) AS similarity
    FROM
        vectors
    INNER JOIN
        brains_vectors ON vectors.id = brains_vectors.vector_id
    WHERE brains_vectors.brain_id = p_brain_id
    ORDER BY
        vectors.embedding <=> query_embedding
    LIMIT match_count;
END;
$$;


-- Create function to match summaries
CREATE OR REPLACE FUNCTION match_summaries(query_embedding vector(4096), match_count INT, match_threshold FLOAT)
RETURNS TABLE(
    id BIGINT,
    document_id UUID,
    content TEXT,
    metadata JSONB,
    embedding vector(4096),
    similarity FLOAT
) LANGUAGE plpgsql AS $$
#variable_conflict use_column
BEGIN
    RETURN QUERY
    SELECT
        id,
        document_id,
        content,
        metadata,
        embedding,
        1 - (summaries.embedding <=> query_embedding) AS similarity
    FROM
        summaries
    WHERE 1 - (summaries.embedding <=> query_embedding) > match_threshold
    ORDER BY
        summaries.embedding <=> query_embedding
    LIMIT match_count;
END;
$$;


CREATE OR REPLACE FUNCTION public.default_brain_embedding()
RETURNS vector(4096) AS $$
BEGIN
    RETURN 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END;
$$ LANGUAGE plpgsql;

Change in seed.sql

On line 133

Replace the INSERT INTO "public"."brains" with

INSERT INTO "public"."brains" ("brain_id", "name", "status", "model", "max_tokens", "temperature", "description", "prompt_id", "last_update", "brain_type", "openai_api_key", "meaning", "tags") VALUES
	('2db343ed-f650-4e3c-a527-db7829829bee', 'Default brain', 'private', NULL, 256, 0, 'This is a description', NULL, '2024-01-22 22:27:50.799964', 'doc', NULL, public.default_brain_embedding(), NULL);

Explaination

The issue comes from the fact that the vectors of openAI have a size of 1056 and the ones from ollama (llama2 and mistral) have a size of 4096.
The error is thrown when the brains embeddings are compared. During seeding, a brain is created with an embedding of 1056, when it compares to your brain embedding that is 4096 the sizes do not match and it fails.

So the solution:
Basically, in the ollama sql file, I changed the datatype of every embedding from VECTOR(1056) to VECTOR(4096) in the related tables.

I'v added a function public.default_brain_embedding in both the init sql file and the ollama one. The one in the init file returns the brain embedding in a vector of size 1056 and the one in ollama, returns a vector of 4096.

Then finally, in the seed.sql, it uses the public.default_brain_embedding() to fetch the value of the brain embedding. In case you are using the ollama one it will overwrite the one from the init and return a vector of 4096.

Btw, did you have to update settings.py as well? If fixed, can you confirm that the search goes through? I've had another bug after that

Would you be interested in a PR @StanGirard ? We the updated seeds ofc

from quivr.

I've made a fix, it was made before the new seeds that were added 3 days ago though.

1. update xxx_init.sql

Add this at the bottom of your file

CREATE OR REPLACE FUNCTION public.default_brain_embedding()
RETURNS vector(1536) AS $$
BEGIN
    RETURN 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END;
$$ LANGUAGE plpgsql;

Replace xxx_ollama.sql

Replace the content of your ollama sql file with the following:

-- Update embedding's type to llama2/mistral vector size (4096) --
alter table "public"."vectors" alter column "embedding" set not null;

alter table "public"."vectors" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."vectors_old" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."summaries" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);
alter table "public"."documents" alter column "embedding" set data type vector(4096) using "embedding"::vector(4096);

-- Create function to match vectors
CREATE OR REPLACE FUNCTION match_vectors(query_embedding vector(4096), match_count INT, p_brain_id UUID)
RETURNS TABLE(
    id UUID,
    brain_id UUID,
    content TEXT,
    metadata JSONB,
    embedding vector(4096),
    similarity FLOAT
) LANGUAGE plpgsql AS $$
#variable_conflict use_column
BEGIN
    RETURN QUERY
    SELECT
        vectors.id,
        brains_vectors.brain_id,
        vectors.content,
        vectors.metadata,
        vectors.embedding,
        1 - (vectors.embedding <=> query_embedding) AS similarity
    FROM
        vectors
    INNER JOIN
        brains_vectors ON vectors.id = brains_vectors.vector_id
    WHERE brains_vectors.brain_id = p_brain_id
    ORDER BY
        vectors.embedding <=> query_embedding
    LIMIT match_count;
END;
$$;


-- Create function to match summaries
CREATE OR REPLACE FUNCTION match_summaries(query_embedding vector(4096), match_count INT, match_threshold FLOAT)
RETURNS TABLE(
    id BIGINT,
    document_id UUID,
    content TEXT,
    metadata JSONB,
    embedding vector(4096),
    similarity FLOAT
) LANGUAGE plpgsql AS $$
#variable_conflict use_column
BEGIN
    RETURN QUERY
    SELECT
        id,
        document_id,
        content,
        metadata,
        embedding,
        1 - (summaries.embedding <=> query_embedding) AS similarity
    FROM
        summaries
    WHERE 1 - (summaries.embedding <=> query_embedding) > match_threshold
    ORDER BY
        summaries.embedding <=> query_embedding
    LIMIT match_count;
END;
$$;


CREATE OR REPLACE FUNCTION public.default_brain_embedding()
RETURNS vector(4096) AS $$
BEGIN
    RETURN 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END;
$$ LANGUAGE plpgsql;

Change in seed.sql

On line 133

Replace the INSERT INTO "public"."brains" with

INSERT INTO "public"."brains" ("brain_id", "name", "status", "model", "max_tokens", "temperature", "description", "prompt_id", "last_update", "brain_type", "openai_api_key", "meaning", "tags") VALUES
	('2db343ed-f650-4e3c-a527-db7829829bee', 'Default brain', 'private', NULL, 256, 0, 'This is a description', NULL, '2024-01-22 22:27:50.799964', 'doc', NULL, public.default_brain_embedding(), NULL);

Explaination

The issue comes from the fact that the vectors of openAI have a size of 1056 and the ones from ollama (llama2 and mistral) have a size of 4096. The error is thrown when the brains embeddings are compared. During seeding, a brain is created with an embedding of 1056, when it compares to your brain embedding that is 4096 the sizes do not match and it fails.

So the solution: Basically, in the ollama sql file, I changed the datatype of every embedding from VECTOR(1056) to VECTOR(4096) in the related tables.

I'v added a function public.default_brain_embedding in both the init sql file and the ollama one. The one in the init file returns the brain embedding in a vector of size 1056 and the one in ollama, returns a vector of 4096.

Then finally, in the seed.sql, it uses the public.default_brain_embedding() to fetch the value of the brain embedding. In case you are using the ollama one it will overwrite the one from the init and return a vector of 4096.

Btw, did you have to update settings.py as well? If fixed, can you confirm that the search goes through? I've had another bug after that

Would you be interested in a PR @StanGirard ? We the updated seeds ofc

I didn't update settings.py.
This got me past that error. It is at least no longer throwing an error related to vector size missmatch. Now I get a connection error.
#2267 (comment)

The logs indicate that the endpoint for the Ollama model is unavailbale.

backend-core  | 2024-02-28 03:38:37,577:INFO - HTTP Request: GET http://host.docker.internal:54321/rest/v1/brains?select=id%3Abrain_id%2C%20name%2C%20%2A&brain_id=eq.7afb863f-c216-4609-b298-761ace9b54b2 "HTTP/1.1 200 OK"
backend-core  | 03:38:37 - LiteLLM:INFO: 
backend-core  | 
backend-core  | POST Request Sent from LiteLLM:
backend-core  | curl -X POST \
backend-core  | http://localhost:11434/api/generate \
backend-core  | -d '{'model': 'llama2', 'prompt': 'Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\n\nChat History:\n\nFollow Up Input: test\nStandalone question:', 'options': {'num_predict': 256, 'temperature': 0.0}, 'stream': True}'
backend-core  | 
backend-core  | 
backend-core  | 2024-02-28 03:38:37,637:INFO - 
backend-core  | 
backend-core  | POST Request Sent from LiteLLM:
backend-core  | curl -X POST \
backend-core  | http://localhost:11434/api/generate \
backend-core  | -d '{'model': 'llama2', 'prompt': 'Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\n\nChat History:\n\nFollow Up Input: test\nStandalone question:', 'options': {'num_predict': 256, 'temperature': 0.0}, 'stream': True}'
backend-core  | 
backend-core  | 
backend-core  | Traceback (most recent call last):
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 66, in map_httpcore_exceptions
backend-core  |     yield
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 366, in handle_async_request
backend-core  |     resp = await self._pool.handle_async_request(req)
backend-core  |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
backend-core  |     raise exc from None
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
backend-core  |     response = await connection.handle_async_request(
backend-core  |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 99, in handle_async_request
backend-core  |     raise exc
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 76, in handle_async_request
backend-core  |     stream = await self._connect(request)
backend-core  |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 122, in _connect
backend-core  |     stream = await self._network_backend.connect_tcp(**kwargs)
backend-core  |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_backends/auto.py", line 30, in connect_tcp
backend-core  |     return await self._backend.connect_tcp(
backend-core  |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_backends/anyio.py", line 112, in connect_tcp
backend-core  |     with map_exceptions(exc_map):
backend-core  |   File "/usr/local/lib/python3.11/contextlib.py", line 155, in __exit__
backend-core  |     self.gen.throw(typ, value, traceback)
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
backend-core  |     raise to_exc(exc) from exc
backend-core  | httpcore.ConnectError: All connection attempts failed
backend-core  | 
backend-core  | The above exception was the direct cause of the following exception:
backend-core  | 
backend-core  | Traceback (most recent call last):
backend-core  |   File "/usr/local/lib/python3.11/site-packages/litellm/llms/ollama.py", line 263, in ollama_async_streaming
backend-core  |     async with client.stream(
backend-core  |   File "/usr/local/lib/python3.11/contextlib.py", line 204, in __aenter__
backend-core  |     return await anext(self.gen)
backend-core  |            ^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1573, in stream
backend-core  |     response = await self.send(
backend-core  |                ^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1617, in send
backend-core  |     response = await self._send_handling_auth(
backend-core  |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1645, in _send_handling_auth
backend-core  |     response = await self._send_handling_redirects(
backend-core  |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1682, in _send_handling_redirects
backend-core  |     response = await self._send_single_request(request)
backend-core  |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1719, in _send_single_request
backend-core  |     response = await transport.handle_async_request(request)
backend-core  |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 365, in handle_async_request
backend-core  |     with map_httpcore_exceptions():
backend-core  |   File "/usr/local/lib/python3.11/contextlib.py", line 155, in __exit__
backend-core  |     self.gen.throw(typ, value, traceback)
backend-core  |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 83, in map_httpcore_exceptions
backend-core  |     raise mapped_exc(message) from exc
backend-core  | httpx.ConnectError: All connection attempts failed
backend-core  | ERROR:    Exception in ASGI application
backend-core  | Traceback (most recent call last):
backend-core  |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 264, in __call__
backend-core  |     await wrap(partial(self.listen_for_disconnect, receive))
backend-core  |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 260, in wrap
backend-core  |     await func()
backend-core  |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 237, in listen_for_disconnect
backend-core  |     message = await receive()
backend-core  |               ^^^^^^^^^^^^^^^
backend-core  |   File "/usr/local/lib/python3.11/site-packages/uvicorn/protocols/http/h11_impl.py", line 564, in receive
backend-core  |     await self.message_event.wait()
backend-core  |   File "/usr/local/lib/python3.11/asyncio/locks.py", line 213, in wait
backend-core  |     await fut
backend-core  | asyncio.exceptions.CancelledError: Cancelled by cancel scope ffff846587d0
backend-core  | 
backend-core  | During handling of the above exception, another exception occurred:
backend-core  | 
backend-core  |   + Exception Group Traceback (most recent call last):
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/uvicorn/protocols/http/h11_impl.py", line 428, in run_asgi
backend-core  |   |     result = await app(  # type: ignore[func-returns-value]
backend-core  |   |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
backend-core  |   |     return await self.app(scope, receive, send)
backend-core  |   |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/fastapi/applications.py", line 1054, in __call__
backend-core  |   |     await super().__call__(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/applications.py", line 123, in __call__
backend-core  |   |     await self.middleware_stack(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/middleware/errors.py", line 186, in __call__
backend-core  |   |     raise exc
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/middleware/errors.py", line 164, in __call__
backend-core  |   |     await self.app(scope, receive, _send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 91, in __call__
backend-core  |   |     await self.simple_response(scope, receive, send, request_headers=headers)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 146, in simple_response
backend-core  |   |     await self.app(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 62, in __call__
backend-core  |   |     await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
backend-core  |   |     raise exc
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
backend-core  |   |     await app(scope, receive, sender)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 758, in __call__
backend-core  |   |     await self.middleware_stack(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 778, in app
backend-core  |   |     await route.handle(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 299, in handle
backend-core  |   |     await self.app(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 79, in app
backend-core  |   |     await wrap_app_handling_exceptions(app, request)(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
backend-core  |   |     raise exc
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
backend-core  |   |     await app(scope, receive, sender)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 77, in app
backend-core  |   |     await response(scope, receive, send)
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 257, in __call__
backend-core  |   |     async with anyio.create_task_group() as task_group:
backend-core  |   |   File "/usr/local/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 678, in __aexit__
backend-core  |   |     raise BaseExceptionGroup(
backend-core  |   | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
backend-core  |   +-+---------------- 1 ----------------
backend-core  |     | Traceback (most recent call last):
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 66, in map_httpcore_exceptions
backend-core  |     |     yield
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 366, in handle_async_request
backend-core  |     |     resp = await self._pool.handle_async_request(req)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
backend-core  |     |     raise exc from None
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
backend-core  |     |     response = await connection.handle_async_request(
backend-core  |     |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 99, in handle_async_request
backend-core  |     |     raise exc
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 76, in handle_async_request
backend-core  |     |     stream = await self._connect(request)
backend-core  |     |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_async/connection.py", line 122, in _connect
backend-core  |     |     stream = await self._network_backend.connect_tcp(**kwargs)
backend-core  |     |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_backends/auto.py", line 30, in connect_tcp
backend-core  |     |     return await self._backend.connect_tcp(
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_backends/anyio.py", line 112, in connect_tcp
backend-core  |     |     with map_exceptions(exc_map):
backend-core  |     |   File "/usr/local/lib/python3.11/contextlib.py", line 155, in __exit__
backend-core  |     |     self.gen.throw(typ, value, traceback)
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
backend-core  |     |     raise to_exc(exc) from exc
backend-core  |     | httpcore.ConnectError: All connection attempts failed
backend-core  |     | 
backend-core  |     | The above exception was the direct cause of the following exception:
backend-core  |     | 
backend-core  |     | Traceback (most recent call last):
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 260, in wrap
backend-core  |     |     await func()
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/starlette/responses.py", line 249, in stream_response
backend-core  |     |     async for chunk in self.body_iterator:
backend-core  |     |   File "/code/modules/brain/knowledge_brain_qa.py", line 309, in generate_stream
backend-core  |     |     async for chunk in conversational_qa_chain.astream(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2449, in astream
backend-core  |     |     async for chunk in self.atransform(input_aiter(), config, **kwargs):
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2432, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1595, in _atransform_stream_with_config
backend-core  |     |     chunk: Output = await asyncio.create_task(  # type: ignore[call-arg]
backend-core  |     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2402, in _atransform
backend-core  |     |     async for output in final_pipeline:
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2862, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1560, in _atransform_stream_with_config
backend-core  |     |     final_input: Optional[Input] = await py_anext(input_for_tracing, None)
backend-core  |     |                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 62, in anext_impl
backend-core  |     |     return await __anext__(iterator)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 97, in tee_peer
backend-core  |     |     item = await iterator.__anext__()
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2862, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1560, in _atransform_stream_with_config
backend-core  |     |     final_input: Optional[Input] = await py_anext(input_for_tracing, None)
backend-core  |     |                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 62, in anext_impl
backend-core  |     |     return await __anext__(iterator)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 97, in tee_peer
backend-core  |     |     item = await iterator.__anext__()
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2862, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1595, in _atransform_stream_with_config
backend-core  |     |     chunk: Output = await asyncio.create_task(  # type: ignore[call-arg]
backend-core  |     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2849, in _atransform
backend-core  |     |     chunk = AddableDict({step_name: task.result()})
backend-core  |     |                                     ^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2832, in get_next_chunk
backend-core  |     |     return await py_anext(generator)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2432, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1595, in _atransform_stream_with_config
backend-core  |     |     chunk: Output = await asyncio.create_task(  # type: ignore[call-arg]
backend-core  |     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2402, in _atransform
backend-core  |     |     async for output in final_pipeline:
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/output_parsers/transform.py", line 60, in atransform
backend-core  |     |     async for chunk in self._atransform_stream_with_config(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1560, in _atransform_stream_with_config
backend-core  |     |     final_input: Optional[Input] = await py_anext(input_for_tracing, None)
backend-core  |     |                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 62, in anext_impl
backend-core  |     |     return await __anext__(iterator)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 97, in tee_peer
backend-core  |     |     item = await iterator.__anext__()
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1071, in atransform
backend-core  |     |     async for output in self.astream(final, config, **kwargs):
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 308, in astream
backend-core  |     |     raise e
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 292, in astream
backend-core  |     |     async for chunk in self._astream(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/langchain_community/chat_models/litellm.py", line 373, in _astream
backend-core  |     |     async for chunk in await acompletion_with_retry(
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/litellm/llms/ollama.py", line 281, in ollama_async_streaming
backend-core  |     |     raise e
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/litellm/llms/ollama.py", line 263, in ollama_async_streaming
backend-core  |     |     async with client.stream(
backend-core  |     |   File "/usr/local/lib/python3.11/contextlib.py", line 204, in __aenter__
backend-core  |     |     return await anext(self.gen)
backend-core  |     |            ^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1573, in stream
backend-core  |     |     response = await self.send(
backend-core  |     |                ^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1617, in send
backend-core  |     |     response = await self._send_handling_auth(
backend-core  |     |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1645, in _send_handling_auth
backend-core  |     |     response = await self._send_handling_redirects(
backend-core  |     |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1682, in _send_handling_redirects
backend-core  |     |     response = await self._send_single_request(request)
backend-core  |     |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1719, in _send_single_request
backend-core  |     |     response = await transport.handle_async_request(request)
backend-core  |     |                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 365, in handle_async_request
backend-core  |     |     with map_httpcore_exceptions():
backend-core  |     |   File "/usr/local/lib/python3.11/contextlib.py", line 155, in __exit__
backend-core  |     |     self.gen.throw(typ, value, traceback)
backend-core  |     |   File "/usr/local/lib/python3.11/site-packages/httpx/_transports/default.py", line 83, in map_httpcore_exceptions
backend-core  |     |     raise mapped_exc(message) from exc
backend-core  |     | httpx.ConnectError: All connection attempts failed
backend-core  |     +------------------------------------
backend-core  | INFO:     127.0.0.1:51672 - "GET /healthz HTTP/1.1" 200 OK
backend-core  | INFO:     127.0.0.1:47738 - "GET /healthz HTTP/1.1" 200 OK
backend-core  | INFO:     127.0.0.1:54420 - "GET /healthz HTTP/1.1" 200 OK
backend-core  | INFO:     127.0.0.1:52580 - "GET /healthz HTTP/1.1" 200 OK

from quivr.

Hi mimartin12
I'm stuck at the same point. Thanks for your tips on changing the vector size.

I've got the same connection error as you got. What I noticed:
Ollama is running on my host machine. I think the curl from LiteLLM should be like the config:
to the domain host.docker.internal:11434 instead of localhost.

I couldn't find where this call happens. Maybe you've got more success.

from quivr.