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46 Commits (7b5e160d28c9b460fcf4bfae09b47eae9f362a02)

Author SHA1 Message Date
Ankush Gola 7b5e160d28
Make Tools own model, add ToolKit Concept (#1095) 
Follow-up of @hinthornw's PR:

- Migrate the Tool abstraction to a separate file (`BaseTool`).
- `Tool` implementation of `BaseTool` takes in function and coroutine to
more easily maintain backwards compatibility
- Add a Toolkit abstraction that can own the generation of tools around
a shared concept or state

---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Francisco Ingham <fpingham@gmail.com>
Co-authored-by: Dhruv Anand <105786647+dhruv-anand-aintech@users.noreply.github.com>
Co-authored-by: cragwolfe <cragcw@gmail.com>
Co-authored-by: Anton Troynikov <atroyn@users.noreply.github.com>
Co-authored-by: Oliver Klingefjord <oliver@klingefjord.com>
Co-authored-by: William Fu-Hinthorn <whinthorn@Williams-MBP-3.attlocal.net>
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
 2 years ago
Harrison Chase 45b5640fe5
fix sql (#1141) 2 years ago
Harrison Chase 511d41114f
return source documents for chat vector db chain (#1128) 2 years ago
Francisco Ingham 3462130e2d
Modify number of types of chains (#1089) 
Changed number of types of chains to make it consistent with the rest of
the docs
 2 years ago
Harrison Chase 7745505482
chat qa with sources (#1084) 2 years ago
Harrison Chase badeeb37b0
fix stuff count (#1083) 2 years ago
Harrison Chase 971458c5de
docs for batch size (#1082) 2 years ago
Harrison Chase 5e10e19bfe
Harrison/align table (#1081) 
Co-authored-by: Francisco Ingham <fpingham@gmail.com>
 2 years ago
Ankush Gola d8ac274fc2
add to async chain notebook (#1056) 2 years ago
Ankush Gola caa8e4742e
Enable streaming for OpenAI LLM (#986) 
* Support a callback `on_llm_new_token` that users can implement when
`OpenAI.streaming` is set to `True`
 2 years ago
Sasmitha Manathunga c67c5383fd
docs: fix typo in notebook (#1046) 2 years ago
Harrison Chase ec727bf166
Align table info (#999) (#1034) 
Currently the chain is getting the column names and types on the one
side and the example rows on the other. It is easier for the llm to read
the table information if the column name and examples are shown together
so that it can easily understand to which columns do the examples refer
to. For an instantiation of this, please refer to the changes in the
`sqlite.ipynb` notebook.

Also changed `eval` for `ast.literal_eval` when interpreting the results
from the sample row query since it is a better practice.

---------

Co-authored-by: Francisco Ingham <>

---------

Co-authored-by: Francisco Ingham <fpingham@gmail.com>
 2 years ago
Harrison Chase 6a31a59400
add links (#1027) 2 years ago
Harrison Chase 7fb33fca47
chroma docs (#1012) 2 years ago
Harrison Chase 0c553d2064
Harrion/kg (#1016) 
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
 2 years ago
Dhruv Anand 03e5794978
typo fix on chat vector db docs (#1007) 
simple typo fix: because --> between
 2 years ago
Harrison Chase e51fad1488
Harrison/0083 (#996) 
Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MBP.attlocal.net>
 2 years ago
Ankush Gola bc7e56e8df
Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841) 
Supporting asyncio in langchain primitives allows for users to run them
concurrently and creates more seamless integration with
asyncio-supported frameworks (FastAPI, etc.)

Summary of changes:

**LLM**
* Add `agenerate` and `_agenerate`
* Implement in OpenAI by leveraging `client.Completions.acreate`

**Chain**
* Add `arun`, `acall`, `_acall`
* Implement them in `LLMChain` and `LLMMathChain` for now

**Agent**
* Refactor and leverage async chain and llm methods
* Add ability for `Tools` to contain async coroutine
* Implement async SerpaPI `arun`

Create demo notebook.

Open questions:
* Should all the async stuff go in separate classes? I've seen both
patterns (keeping the same class and having async and sync methods vs.
having class separation)
 2 years ago
Harrison Chase 87fad8fc00
analyze document (#731) 
add analyze document chain, which does text splitting and then analysis
 2 years ago
Harrison Chase f95cedc443
Harrison/sql rows (#915) 
Co-authored-by: Jon Luo <20971593+jzluo@users.noreply.github.com>
 2 years ago
Harrison Chase 2a68be3e8d
chat vector db chain (#902) 2 years ago
Zach Schillaci 4c79100b15
Correct prompt typo + update example for SQLDatabaseChain (#868) 
See https://github.com/hwchase17/langchain/issues/821
 2 years ago
Harrison Chase fc0cfd7d1f
docs (#848) 2 years ago
Harrison Chase 0de55048b7
return code for pal (#844) 2 years ago
Harrison Chase 94ae126747
return sql intermediate steps (#792) 2 years ago
Harrison Chase 248c297f1b
Sample row in table info for SQLDatabase (#769) (#782) 
The agents usually benefit from understanding what the data looks like
to be able to filter effectively. Sending just one row in the table info
allows the agent to understand the data before querying and get better
results.

---------

Co-authored-by: Francisco Ingham <>

---------

Co-authored-by: Francisco Ingham <fpingham@gmail.com>
 2 years ago
Harrison Chase b9ad214801
add docs for loading from hub (#763) 2 years ago
Harrison Chase bd0bf4e0a9
Harrison/generate blog post (#732) 
Co-authored-by: Ren <yirenlu92@users.noreply.github.com>
 2 years ago
Harrison Chase 0ffeabd14f
Harrison/serialize llm chain (#671) 2 years ago
Nicolas 66fd57878a
docs: Update vector_db_qa_with_sources.ipynb (#706) 2 years ago
Harrison Chase 6be5f4e4c4
Harrison/sql db chain (#641) 
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
 2 years ago
Francis b374d481c8
fix typo (#636) 
there is a small typo in one of the docs.
 2 years ago
Harrison Chase 3d43906572
Harrison/new api chain (#623) 
Co-authored-by: Francisco Ingham <fpingham@gmail.com>
Co-authored-by: lesscomfortable <pancho_ingham@hotmail.com>
 2 years ago
Harrison Chase 1c71fadfdc
more complex sql chain (#619) 
add a more complex sql chain that first subsets the necessary tables
 2 years ago
Francisco Ingham 1787c473b8
Custom prompt option for llm_bash and api chains (#612) 
Co-authored-by: lesscomfortable <pancho_ingham@hotmail.com>
 2 years ago
Harrison Chase 9f9afbb6a8
add custom prompt for LLMMathChain and SQLDatabase chain (#605) 2 years ago
Ikko Eltociear Ashimine 60dfe58325
Fix typo in vector_db_qa.ipynb (#597) 
paramter -> parameter
 2 years ago
Harrison Chase 950a81399a
bump version to 61 (#596) 2 years ago
Harrison Chase d574bf0a27
add documentation on how to load different chain types (#595) 2 years ago
Harrison Chase 8ab09c18a1
Return source documents option in VectorDBQA (#585) (#592) 
Co-authored-by: lesscomfortable <pancho_ingham@hotmail.com>

Co-authored-by: Francisco Ingham <fpingham@gmail.com>
Co-authored-by: lesscomfortable <pancho_ingham@hotmail.com>
 2 years ago
Harrison Chase b06a2a6191
improve documentation on how to pass in custom prompts (#561) 2 years ago
Harrison Chase 8dfad874a2
map rerank chain (#516) 
add a chain that applies a prompt to all inputs and then returns not
only an answer but scores it

add examples for question answering and question answering with sources
 2 years ago
Harrison Chase 9753bccc71
Feature: linkcheck-action (#534) (#542) 
- Add support for local build and linkchecking of docs
- Add GitHub Action to automatically check links before prior to
publication
- Minor reformat of Contributing readme
- Fix existing broken links

Co-authored-by: Hunter Gerlach <hunter@huntergerlach.com>

Co-authored-by: Hunter Gerlach <HunterGerlach@users.noreply.github.com>
Co-authored-by: Hunter Gerlach <hunter@huntergerlach.com>
 2 years ago
Ikko Eltociear Ashimine ca9aaac36e
Fix typo in key_concepts.md (#535) 
therefor -> therefore
 2 years ago
Harrison Chase 40326c698c
unify argument name (#513) 
unify names in map reduce and refine chains to just be
return_intermediate_steps

also unify the return key
 2 years ago
Harrison Chase 985496f4be
Docs refactor (#480) 
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:

- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.

There is also a full reference section, as well as extra resources
(glossary, gallery, etc)

Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
 2 years ago